Home >

DSP/ML computing libraries for IoT

Laurent Le Faucheur - Available in 11 days, 18 hours and 33 minutes (2021-10-05 09:30 EDT)

CMSIS-NN and CMSIS-DSP provide developers with a collection of efficient neural network kernels aimed at maximizing performance and minimizing the memory footprint on Cortex-M processors for applications that require machine learning and DSP capabilities. Join Laurent Le Faucheur, Principal IoT Software Engineer at Arm as he shares the latest developments for these computing libraries and how they can be used efficiently with future processing technology, including the Arm Cortex-M55 processor.

italicssurround text with
boldsurround text with
**two asterisks**
or just a bare URL
surround text with
strikethroughsurround text with
~~two tilde characters~~
prefix with

No comments or questions yet. Will you be the one who will break the ice?